Systems Research and Architecture Group (SRA)

Fachgebiet System- und Rechnerarchitektur

Our Research and Teaching activities are centered around the architecture of computing systems: From hardware over system software up to languages and compilers with a focus on constructive methods for the design and development of adaptable and versatile system software. The group is led by Prof. Daniel Lohmann.

Cherrapunjee Rain Forests" ( CC BY-SA 2.0) by  ashwin kumar


Those machines that are closest to our everyday life are special-purpose systems embedded into the physical world. Due to this embedding, we know a lot about the surroundings of a system. We exploit this knowledge in the design of hardware and system software.


The requirements for every system are special. However, we often favor unspecific general-purpose components over special-purpose solutions. With the techniques of automatic tailoring, we can achieve specialized systems at moderate development costs.


During the architectural design, the required functionalities are often well understood. Nonfunctional aspects are decisive for choosing a system for a given task. Especially for embedded systems, we can optimize various aspects towards the given application scenario.

News and Trivia

2020-11-09 The Sound of Silence at CCSW '20

Ralf Ramsauer presents The Sound of Silence: Mining Security Vulnerabilities from Secret Integration Channels in Open-Source Projects at CCSW '20 – due to Corona by video. In the paper, which has already been featured The Register and (German), we describe an approach to automatically detect patches that fix critical security issues before they are rolled out in the wild. We detect these patches (using the technology we described in our ICSE '19 paper) by the mere fact that they are not discussed on the mailing list. We analyzed the seven months before the release of Linux 5.4 and found commits that address 12 vulnerabilities. For these vulnerabilities, our approach resulted in a temporal advantage of 2 to 179 days to design exploits before public disclosure takes place.

2020-11-05 Waitfree Patching at OSDI '20

Florian Rommel presents our paper From Global to Local Quiescence: Wait-Free Code Patching of Multi-Threaded Processes at OSDI '20 – due to Corona by video.

In the paper, we present WfPatch, a wait-free approach to inject code changes into running multi-threaded programs. Instead of having to stop the world before applying a patch, WfPatch can gradually apply it to each thread individually at a local point of quiescence, while all other threads can make uninterrupted progress.

WfPatch is the first outcome of our novel concept on adaptable thread-level address spaces, which we are investigating in the ATLAS project.

2020-05-01 CACM: Quantifying the Gender Gap in Computer Science

And now for something completely different: Our paper A Bibliometric Approach for Detecting the Gender Gap in Computer Science has appeared on the May 2020 issue of CACM, together with a short video about this work produced by ACM. In the paper we describe a method to identify the ratio of active female CS scientists by bibliometric analyses. In contrast to previous studies in the STEM fields that refer to limited data records (such as enrollment and degree numbers) our method identifes active researchers from all career levels and instutitions and can easily be tailored to specific sub-fields of the STEM field. The percentage of women contributing to 19 representative conferences in systems-level CS within the last six years is, on average, below ten percent.

2019-12-03 Fault-Space Regions at PRDC '19

Oskar Pusz presents our paper Program-Structure–Guided Approximation of Large Fault Spaces at the 24th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC '19) in Kyoto, Japan. In the paper we describe an approach to reduce the number of required fault injections using program-structure informations while aiming full fault-space coverage. Results show that injections can be reduced by up to 76 percent with an deviation of less than 2.7 percent and we keep the locality of the results regarding silent data corruptions to a low deviation.

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